Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

29670 Completed Projects

2811
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4990
BC
801
MB
663
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825
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8841
ON
9197
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95
PE
568
NB
1088
NS

Projects by Category

Explication de l’insatisfiabilité en modélisation par contraintes pour des problèmes d’optimisation industriels

Depuis 2018, Thales Digital Solutions développe des systèmes d’optimisation et d’aide à la décision ayant pour but d’accélérer la transformation numérique de ses industries, en particulier dans les domaines militaire et aérospatial. Ces systèmes reposent sur des approches de modélisation par contraintes et permettent de résoudre des problèmes d’optimisation particulièrement complexes. Lors de l’utilisation de ces systèmes, le choix des données fournies par un utilisateur peut mener à un modèle incorrect, impliquant qu’aucune solution au problème n’existe. On dit alors que le problème est insatisfiable et il est habituellement difficile d’en obtenir la raison. Ainsi, l’objectif général de ce projet est de développer des méthodes d’explication de l’insatisfiabilité afin que les utilisateurs soient en mesure de comprendre le ou les conflit(s) et de corriger les données adéquatement selon leur expertise du domaine d’application, sans nécessiter l‘expertise technique du modèle.

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Faculty Supervisor:

Claude-Guy Quimper

Student:

Partner:

Thales Recherche et Technologie

Discipline:

Computer science

Sector:

Management of companies and enterprises; Manufacturing; Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Sustainability and the Wine Industry in the Okanagan valley of BC

The study focuses on sustainable practices employed by wineries and wine growers in the Okanagan valley of BC. The focus of this internship will be to understand fully how one winery – Quails Gate winery in West Kelowna- carries out sustainable practices at various stages of its production, distribution and the marketing of its products. The expected benefit for the organization is to receive an audit of the various processes it uses, the pros and cons of such processes, and some insight into where improvements can be made.

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Faculty Supervisor:

Annamma Joy

Student:

Partner:

Quails Gate winery

Discipline:

Business

Sector:

Manufacturing

University:

University of British Columbia - Okanagan

Program:

Accelerate

Extending Data Security in a distributed storage system

45Drives offers its customers the ability to store massive amounts of data in-house, giving those customers a high level of data sovereignty. To do this 45Drives uses the opensource software Ceph which interconnects many servers into a distributed storage system. A limitation of Ceph is that it only provides data security at transit but provides no native encryption mechanism to secure stored data at rest. In our previous work we implemented an encryption module for Ceph and a key management system, but we have yet to integrate these two components to achieve security at rest support for Ceph. A critical limitation we face is that such an integration must have a minimal impact on the runtime performance of the system. Additionally, we are extending Ceph’s data security to the application level using homomorphic encryption, enabling an application to perform computations on ciphertext instead of plaintext. Consequently, customers deploying Ceph can ensure that their data is protected even when it is processed by third parties using untrusted platforms. Given that there has been little research into how current homomorphic encryption (HE) technologies fit into distributed storage solutions, we believe that our research provides practical insights into the use of HE.

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Faculty Supervisor:

Kenneth Kent

Student:

Partner:

45 Drives

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of New Brunswick

Program:

Accelerate

Exploring the Synergy of Footwear and Bra Support on Running Mechanics in Real-World Conditions

This study examines how sports bras and running shoes impact how female runners move. We want to understand how these affect performance and comfort. We will study 15 female runners using special sensors while they run outdoors. They will do a 20-minute run followed by a 5k run to make them tired. Then, they will run for 5 minutes in different bras and shoes. We will look at how these things change how they run and how comfortable they feel. Our goal is to help make better sports clothes for female runners.

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Faculty Supervisor:

Dylan Kobsar

Student:

Partner:

Lululemon

Discipline:

Life Sciences

Sector:

Manufacturing; Retail trade

University:

McMaster University

Program:

Accelerate

Machine learning techniques for developing virtual sensors of water flow rates in building cooling systems

The scope of this project is the development of virtual sensors that use mathematical models along with measurements data from the Building Automation System, and can be installed in mechanical cooling systems pf large commercial and institutional buildings, instead of electromagnetic or ultrasonic water flow meters. The proposed virtual sensors would provide a low-cost, practical, and non-intrusive method to monitor the chilled and condenser water mass flow rates, and help for the fault detection and diagnosis of chillers, and the monitoring of chillers performance.
The partner, Mariner Partners Inc. DBA SHIFT Energy, from Saint John, New Brunswick, Canada, can use the thermodynamic mathematical models generated in this project to develop computer applications that can be integrated in the Building Automation Systems of HVAC systems. The computer applications developed by the partner can be used across Canada in large commercial and institutional buildings, for example for more efficient energy use, and detection and diagnostic of faults. The improved energy efficiency in chilled water plants represents a large opportunity for demand and GHG reductions – a priority for Canada going forward. Virtual flow metering will expand the addressable market for energy efficiency projects in central cooling plants.

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Faculty Supervisor:

Radu Zmeureanu

Student:

Partner:

Mariner Partners Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

An Innovative Model of Pediatric ACute Mental Health and AddictioNs Care to Increase Value to Children, Youth, and the Healthcare System: The PACMAN Study

The PACMAN Study seeks to understand experiences and satisfaction with care and outcomes of children and youth who used mental health services as well as their parents and caregivers at the above-mentioned hospitals, including an economic evaluation conducted by the IHE on the impact of the intervention on healthcare resource use and costs in youth with mental health and addiction conditions.
The purpose of the PACMAN study is to implement and evaluate an integrated, evidence-based approach to family-centered, acute mental health and addiction care.
The goal of the PACMAN study is to provide the right care, with the right people, at the right place and time.

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Faculty Supervisor:

Arto Ohinmaa

Student:

Partner:

Institute of Health Economics

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Incorporation and Optimization of Allometric Equations for a Proprietary Forest Carbon Accounting Software Package

ICG has developed proprietary LiDAR based software to quantify carbon sequestration in every individual tree across large landscapes. This technology promises to bring unbiased and verifiable accounting to the rapidly evolving forest carbon offset sector. The Intern will work with ICG software developers to incorporate and optimize allometric equations for specific areas of interest. The optimization step needs to include the incorporation of an extensive field collected data set and modification of the allometric equations for the specific areas of interest. Additionally, the output data needs to align with the required inputs for the Carbon Budget Model of the Canadian Forest Sector (CBM_CSF3) and the equations required to calculate carbon offset credits in accordance with the various forest carbon offsetting protocols across Canada.

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Faculty Supervisor:

Andrew Fiori

Student:

Partner:

Innovatree Carbon Group Ltd

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

University of Lethbridge

Program:

Accelerate

Integrating Genetics and Biometrics in Machine Learning for Enhanced Depression Diagnosis and Treatment Prediction

We are embarking on an exciting research project that aims to enhance how we diagnose and treat depression in young adults aged 18-29. Our team will use machine learning to better understand how a person’s genetic makeup and life experiences can affect their mental health. Specifically, we will enhance a tool called YMI, developed by our partner, nDatalyze. YMI already uses technology to predict mental health conditions, but we plan to make it even more accurate by including genetic information. The end goal is to make it easier and more accurate for healthcare professionals to diagnose depression and choose the best treatment options for each individual. For nDatalyze, this means their tool becomes more advanced and valuable, potentially leading to wider use in the healthcare field and helping more people get the right treatment for their mental health needs.

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Faculty Supervisor:

Dale Dale Stevens

Student:

Partner:

nDatalyze Corp.

Discipline:

Computer science

Sector:

Information and cultural industries

University:

York University

Program:

Accelerate

Analyse du comportement vibratoire des escaliers monumentaux

Ce projet de recherche vise à améliorer la conception des escaliers monumentaux en étudiant leur comportement
face aux vibrations. Les stagiaires utiliseront des modèles informatiques et réaliseront des essais sur de vrais
escaliers pour mieux comprendre leurs réactions dynamiques. L’objectif est d’ajuster les normes actuelles pour
garantir des escaliers plus sûrs, économiques et confortables. L’organisation partenaire bénéficiera de
recommandations plus précises pour la conception des escaliers, réduisant ainsi les risques d’erreurs. En
comprenant mieux les vibrations, les ingénieurs pourront concevoir des escaliers plus efficacement, favorisant la
sécurité et le confort des utilisateurs, tout en optimisant les coûts de construction pour l’avenir.

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Faculty Supervisor:

Nathalie Roy

Student:

Partner:

DPHV

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Metagenomic study of dechlorinating microbial communities in vitro and in situ

The project is focused on study of commercial microbial cultures for biological remediation of soils and ground waters contaminated by chlorinated organic. The successful elaboration and improvement of the products requires analysis on molecular-genetic level and developing of specific techniques (16S pyrotag pipeline) for microbial communities profiling and metabolic reconstruction. The work benefits to industry partner by providing comprehensive information on functional and taxonomic structure of the studied microbial communities. Implementation of semi-automatic procedure for tracking of the microbial communities structure is crucial for efficient managing of the bioremediation and provides SiREM lab a new ready-to-use service which significantly improve technical support of clients.

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Faculty Supervisor:

Elizabeth Edwards

Student:

Partner:

SiREM

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Biotechnology; Environmental Science and Technology; Sustainability & the Environment

University:

University of Toronto

Program:

Accelerate

Designing new multimodal data analysis approaches by geometry, topology and data diffusion

Our goal is to uncover patterns and structures hidden in complex biological data measured at the single-cell resolution. We propose to incorporate multiscale information, comprising both local and global information, to describe the shape of datasets as a whole. Current work typically only focuses on local structures, like groups of similar cells and transitions between them, missing out on describing the underlying organizational principles of data. Here, we will develop quantitative methods by making use of our recent work on diffusion condensation, a process that summarizes data at different resolutions that go from very fine-grained to very coarse-grained. We will tackle challenging tasks in single-cell data analysis, such as removing biases like batch effects from the data collection process and combining multiple modalities, i.e., datasets measured with different instruments. Our methods will incorporate information at multiple scales of locality, ranging from local to global, thus enabling the robust identification of patterns in the data that (a) represent the underlying biology and, (b) are shared across datasets. This research bears the promise of leading to novel insights of complex disease mechanisms, helping domain scientists like biologists to make sense of their data and assist them in hypothesis generation.

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Faculty Supervisor:

Guy Wolf

Student:

Partner:

Helmholtz Centre Munich

Discipline:

Computer science

Sector:

Artificial Intelligence

University:

Université de Montréal

Program:

Globalink Research Award

Sauvetage de l’économie Vietnamienne par la conversion de projet de logements commerciaux en logement sociaux : analyse des impacts de cette nouvelle forme de production du logement social à Hanoï.

À la suite de la crise immobilière de 2008, le gouvernement vietnamien met en place des politiques favorisant la conversion de projets de logements commerciaux en logements sociaux. En raison du grand nombre de promoteurs cherchant à convertir leurs projets, la planification du logement social par l’État se voit bouleversée. Il est donc d’intérêt d’en analyser les impacts pour les résidents et leur intégration à l’échelle locale et métropolitaine. Premièrement, la recherche dresse un portrait de la production du logement social au Vietnam avant ces politiques. Deuxièmement, elle identifie les politiques de sauvetage de l’industrie immobilière et les projets qui en sont issus. Troisièmement, elle analyse les forces et faiblesses de ce nouveau mode de production sur la base de la localisation, l’accès aux services publics et aux centres d’emplois et la typologie des projets. Cette étude mènera à la formulation de recommandations d’interventions et/ou de politiques permettant de mieux guider leur développement et améliorer leur intégration.

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Faculty Supervisor:

Danielle Labbé

Student:

Partner:

National University of Civil Engineering

Discipline:

Sociology

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

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